STeLLa v2.0: Planning with intermediate goals

被引：0

作者：

Sebastia, L ^{[1
]}

Onaindia, E ^{[1
]}

Marzal, E ^{[1
]}

机构：

[1] Univ Politecn Valencia, Dipartimento Sistemas Informat & Computac, E-46071 Valencia, Spain

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2002, PROCEEDINGS | 2002年 / 2527卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the last few years, AI planning techniques have experimented a great advance. One of the reasons for this big expansion is the International Planning Competition (IPC), which enforces the definition of language standards as PDDL+ and new benchmarks. In this paper, we present the new features of STeLLa, a planner that participated in the last IPC, held in Toulouse last April. STeLLa is a forward search planner that builds intermediate goals to ease the resolution of the planning problem.

引用

页码：805 / 814

页数：10

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